Job Description

About Wells Fargo Wells Fargo & Company (NYSE: WFC) is a leading global financial services company headquartered in San Francisco (United States). Wells Fargo has offices in over 20 countries and territories. Our business outside of the U.S. mostly f

About Wells Fargo Wells Fargo & Company (NYSE: WFC) is a leading global financial services company headquartered in San Francisco (United States). Wells Fargo has offices in over 20 countries and territories. Our business outside of the U.S. mostly focuses on providing banking services for large corporate, government and financial institution clients. We have worldwide expertise and services to help our customers improve earnings, manage risk, and develop opportunities in the global marketplace. Our global reach offers many opportunities for you to develop a career with Wells Fargo. Join our diverse and inclusive team where you will feel valued and inspired to contribute your unique skills and experience. We are looking for talented people who will put our customers at the center of everything we do. Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you. Market About Wells Fargo in India & Philippines Wells Fargo in India & Philippinesenables global talent capabilities for Wells Fargo Bank NA., by supporting business lines and staff functions across Technology, Operations, Risk, Audit, Process Excellence, Automation and Product, Analytics and Modeling. We are operating in Hyderabad, Bengaluru, Chennai & Manila locations. Department Overview Consumer and Small Business Banking (CSBB) provides financial services to 21 million retail bank households and three million small business customers through approximately 4,500 retail branches, 17 customer service centers, and approximately 13,000 ATMs in 36 states and the District of Columbia. We serve and help individuals and families in many aspects of their lives, helping them buy homes, open first bank and savings accounts, buy cars to get to and from work or school, and start or grow small businesses. CSBB is focused on innovating and transforming with the customer at the center, better enabling customers to engage with us how, when, and wherever they choose. As an industry leader in many consumer and small business areas - including retail deposits, debit card transaction and purchase volume, and small business lending - our primary goal is delivering for our customers. The Consumer Data and Engagement Platform (CDEP) The CDEP group works across the Consumer & Small Business Banking (CSBB), Consumer Lending, and Wealth and Investment Management lines of business to develop coordinated strategies for growth in each of Wells Fargo\'s customer segments. The team is responsible for designing seamless, engaging customer experiences across products and channels, and building the next-generation digital, data and analytics, and functional capabilities required to deliver toward these objectives. The Consumer Modeling COE is the analytics group supporting Consumer and Small Business Banking and Consumer Lending and tasked with solving high-impact business challenges and standing up cutting-edge analytical capabilities to be shared across Wells Fargo\'s analytic community. The Role Quantitative Analytics Specialist is a partner-facing role and is responsible for delivering high impact analytic and data science projects by using analytics and AI. Primary role of the advanced analytics consultant in the Consumer Modeling COE is to apply business knowledge and advanced programming skills and analytics to serve as a subject matter expert, analyst, advisor and consultant to support model lifecycle - model development, performance testing, data analysis, model implementation, model production, delivery of model results, change management, documentation and governance. Responsibilities Required to work individually or as part of a team on data science projects and work closely with business partners across the organization. Perform various complex activities related to statistical/machine learning. Provide analytical support for developing, evaluating, implementing, monitoring and executing models across business verticals using emerging technologies including but not limited to Python, Spark, and H2O etc. Ability to work with large datasets using SQL and present conclusions to key stakeholders. Establish a consistent and collaborative framework with the business and act as a primary point of contact in delivering the solutions. Build quick prototypes to check feasibility and value to business. Develop and maintain modular code-base for reusability Review and validate models and help improve the performance of the model under the preview of the banking regulations. Work closely with technology teams to deploy the models to production. Prepare detailed documentations for projects for both internal and external that complies regulatory and internal audit requirements Essential Skills Bachelors or Masters degree in Engineering field like computer science, Information technology, Electrical Engineering etc. M.Sc./M.Phil. in statistics/economics/mathematics/ operations research engineering physics 2 - 5 years of relevant hands on experience in data science and advanced analytics. Must have hands on exposure in Python and SQL. Working knowledge of libraries like, sckit-learn, pandas, numpy, mllib, matplotlib, keras Proficiency in data mining and statistical analysis. Experience in developing, implementing models. Statistical models - linear regression, logistic regression, time series analysis, multivariate statistical analysis Machine learning models - Random forest, XGBoost, GBM, SVM Exposure to deep learning framework - ANN,RNN, CNN, LSTM Excellent understanding of model metrics including AUC, ROC, F-statistics etc. with clear understanding of how model performance is tuned Strong programing skills. Exposure in one or more of Big Data skills - SQL, Aster, Teradata, Hadoop, SPARK, H20, BigQuery. Exposure to Google Cloud Platform Critical thinking and strong problem solving skills Ability to learn the business aspects quickly Knowledge of banking industry and products in at least one of the LOB such as credit cards, mortgage, deposits, loans or wealth management etc.is desirable Knowledge of functional area such as risk, marketing, operations or supply chain in banking industry is desirable Ability to multi-task and prioritize between projects Ability to work independently and as part of a team Desired Skills Working expertise in Tensorflow, Keras or Pytorch would be added advantage We Value Diversity At Wells Fargo, we believe in diversity, equity and inclusion in the workplace accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit\'s risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in US:All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

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